I want to do some image processing using Python.
Is there a simple way to import .png image as a matrix of greyscale/RGB values (possibly using PIL)?
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6 Answers
scipy.misc.imread() will return a Numpy array, which is handy for lots of things.
Up till now no one told about matplotlib.image:
import matplotlib.image as img
image = img.imread(file_name)
Now the image would be a 3D numpy array
print image.shape
Would be something like: (317, 504, 3)
3 Comments
Abubakar
it is giving image dimensions not converting image into matrix bro
Vidit Varshney
@Salvador This is returning the shape of the image in which the first two arguments in the result give you the length and width respectively while the third one give you the dimension. and the question is asking about the matrix.
K-Dawg
'function' object has no attribute 'imread' ? x_test = [img.imread.imread(path, 'r') for path in x_test_paths]
scipy.misc.imread() is deprecated now. We can use imageio.imread instead of that to read it as a Numpy array
Comments
you can use PyGame image and use PixelArray to access the pixeldata
1 Comment
hatmatrix
thanks - i will have to look into that. for now, i happened to have scipy and PIL installed already...
Definitely try
from matplotlib.image import imread
image = imread(filename)
The filename preferably has to be an .jpg image. And then, try
image.shape
This would return :
for a black and white or grayscale image An (n,n) matrix where n represents the dimension of the images (pixels) and values inside the matrix range from 0 to 255. Typically 0 is taken to be black, and 255 is taken to be white. 128 tends to be grey!
For color or RGB image It will render a tensor of 3 channels. Each channel is an (n,n) matrix where each entry represents the respectively the level of Red, Green or Blue at the actual location inside the image.
